Investigation of a large ground collapse, water inrush and mud outburst, and countermeasures during subway excavation in Qingdao: A case study
•The causes of the disaster are investigated in details.•Kinetic energy derived from potential energy determines the extend of the disaster.•The remedial instruments are used, and proved to be effective by monitoring data. This paper presents a case study of a large ground collapse (30.6 m long, 25....
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Published in | Tunnelling and underground space technology Vol. 117; p. 104127 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Elsevier Ltd
01.11.2021
Elsevier BV |
Subjects | |
Online Access | Get full text |
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Summary: | •The causes of the disaster are investigated in details.•Kinetic energy derived from potential energy determines the extend of the disaster.•The remedial instruments are used, and proved to be effective by monitoring data.
This paper presents a case study of a large ground collapse (30.6 m long, 25.5 m wide, and 6.0 m deep) and water inrush and mud outburst (10540.8 m3) in the Qingdao line 4, China. This disaster caused a loss of life and property, and construction delay. After the catastrophe, the remedial measures had to be taken to guarantee the stability of the tunnels when tunnel advance resumed. Based on the geological survey and numerical modelling, the main causes of this disaster were summarized as the low strength of strata, high water pressure, stress concentration, the coupling interaction between seepage force and ground and, as a consequence, also the crash of the slice of strongly weathered tuff. Eventually, potential energy, which was derived from the collapse bodies, was transformed into kinetic energy and developed this disaster. After this disaster, a set of remedial instruments including filling the ground cave-in, reinforcing the advance core ahead of tunnel face, and conducting the porepoles to form a protective shell were proposed. After the tunnel advance resumed, these remedial instruments validated by employing monitoring data were effective to tackle this disaster. |
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ISSN: | 0886-7798 1878-4364 |
DOI: | 10.1016/j.tust.2021.104127 |